Modeling the Operational Dynamics of Alkaline Electrolyzer
2024 IEEE Design Methodologies Conference, DMC 2024, Page: 1-6
2024
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
The performance and optimization of alkaline electrolyzers are often constrained by the lack of comprehensive models that capture their dynamic behavior under varying operational conditions. Existing models frequently overlook the complex interactions between electrochemical, thermodynamic, and pressure systems within the electrolyzer. This paper presents an intelligent, multi-physics dynamic modeling approach for an alkaline electrolyzer. The proposed model captures the electrochemical, thermodynamic, and pressure dynamics of the electrolyzer, simulating its behavior under various operating conditions. The model operates within a closed-loop environment, accounting for key factors such as temperature and pressure variations during operation. The comprehensive modeling approach aims to capture the dynamic behavior of the electrolyzer, including startup conditions, ensuring optimized performance across a range of operating scenarios. The model has been implemented in MATLAB/Simulink, providing enhanced control capabilities. Additionally, the accuracy and performance of the model have been validated against experimental data, demonstrating its reliability.
Bibliographic Details
Institute of Electrical and Electronics Engineers (IEEE)
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